What we solve.
Threshold-Based Alerting
Custom rules per sensor, per location, per time window. Precise enough to catch real events - calibrated to eliminate false positives.
Anomaly Detection
Statistical baselines that flag unusual readings before they become incidents. Patterns recognized before operators notice them.
Multi-Channel Notifications
Push, email, SMS - the right person informed through the right channel, at the right severity level, at the right time.
Automated Actions
Logic that doesn't just alert - it responds. Automatic logging, escalation paths, and downstream triggers configured per event type.
The Stack.
- NestJS
- Rule Engines
- State Machines
- WebPush
- SMTP
- Twilio / SMS
- Custom Thresholds
- TimescaleDB Alerts
- Audit Logging
Focused Evidence.
Wodowskaz
Centralizing fragmented telemetry data into a real-time decision system for nationwide monitoring.
HydroScope
Automated environmental data acquisition desktop tool - translating raw IMGW station feeds into decoded, analysis-ready exports with built-in trend visualization.
How we engineer intelligence.
Alert Logic Design
We map every critical threshold and event type with stakeholders before writing a single rule. Precision requires understanding what actually matters.
Delivery Architecture
Notification routing built for reliability - queued delivery, retry logic, and channel fallback so no critical alert is ever silently dropped.
Tuning & Calibration
Post-launch review of alert frequency and accuracy. Rules refined against real events until the signal-to-noise ratio is operationally useful.